Triple
T23329167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Beat |
E591392
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Darnell Bristol |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Darnell Bristol | Statement: [Street Beat, hasPerformer, Darnell Bristol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Bristol Context triple: [Street Beat, hasPerformer, Darnell Bristol]
-
A.
Darnell Bristol
Darnell Bristol is an author known for works written by Roni.
-
B.
Darnell Bristol
chosen
Darnell Bristol is a musical artist known for performing on the track "Body Talk."
-
C.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
D.
Darnell Scott
Darnell Scott is a music producer best known for his work on The Notorious B.I.G.’s landmark debut album "Ready to Die."
-
E.
Darnell Lewis
Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ec22a481908247f5f86acb6ab4 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:14 p.m.